{"id":3929,"date":"2023-07-14T16:46:14","date_gmt":"2023-07-14T16:46:14","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%ba%d1%80%d1%83%d0%b3%d0%bb%d0%b0%d1%8f-%d0%ba%d0%be%d0%bb%d0%be%d0%bd%d0%bd%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b\/"},"modified":"2023-07-14T16:46:14","modified_gmt":"2023-07-14T16:46:14","slug":"%d0%ba%d1%80%d1%83%d0%b3%d0%bb%d0%b0%d1%8f-%d0%ba%d0%be%d0%bb%d0%be%d0%bd%d0%bd%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%ba%d1%80%d1%83%d0%b3%d0%bb%d0%b0%d1%8f-%d0%ba%d0%be%d0%bb%d0%be%d0%bd%d0%bd%d0%b0-%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b\/","title":{"rendered":"\u041a\u0430\u043a \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u0442\u044c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0432 pandas dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u043e\u0434\u043d\u043e\u043c \u0441\u0442\u043e\u043b\u0431\u0446\u0435 DataFrame pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">my_column<\/span> = df. <span style=\"color: #3366ff;\">my_column<\/span> . <span style=\"color: #3366ff;\">round<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u0435 \u043e\u0434\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 Pandas DataFrame<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0441\u043f\u043e\u0440\u0442\u0441\u043c\u0435\u043d\u0430\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">athlete<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' <span style=\"color: #ff0000;\">time<\/span> ': [12.443, 15.8, 16.009, 5.06, 11.075, 12.9546],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [5, 7, 7, 9, 12, 9]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  athlete time points\n0 A 12.4430 5\n1 B 15.8000 7\n2 C 16.0090 7\n3 D 5.0600 9\n4 E 11.0750 12\n5 F 12.9546 9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u0432\u0440\u0435\u043c\u0435\u043d\u0438<\/strong> \u0434\u043e \u0431\u043b\u0438\u0436\u0430\u0439\u0448\u0435\u0433\u043e \u0446\u0435\u043b\u043e\u0433\u043e \u0447\u0438\u0441\u043b\u0430:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#round values in 'time' column of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">time<\/span> = df. <span style=\"color: #3366ff;\">time<\/span> . <span style=\"color: #3366ff;\">round<\/span> ()\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  athlete time points\n0 A 12.0 5\n1 B 16.0 7\n2 C 16.0 7\n3D 5.0 9\n4 E 11.0 12\n5 F 13.0 9\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u041a\u0430\u0436\u0434\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u0432\u0440\u0435\u043c\u0435\u043d\u0438<\/strong> \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u043e \u0434\u043e \u0431\u043b\u0438\u0436\u0430\u0439\u0448\u0435\u0433\u043e \u0446\u0435\u043b\u043e\u0433\u043e \u0447\u0438\u0441\u043b\u0430.<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>12 443<\/strong> \u0431\u044b\u043b\u043e \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u043e \u0434\u043e <strong>12<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>15,8<\/strong> \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u043b\u0438 \u0434\u043e <strong>16<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>16,009<\/strong> \u0431\u044b\u043b\u043e \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u043e \u0434\u043e <strong>16<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0418 \u0442\u0430\u043a \u0434\u0430\u043b\u0435\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0427\u0442\u043e\u0431\u044b \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0434\u043e \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432, \u043f\u0440\u043e\u0441\u0442\u043e \u0443\u043a\u0430\u0436\u0438\u0442\u0435 \u044d\u0442\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 <strong>round()<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u0432\u0440\u0435\u043c\u0435\u043d\u0438<\/strong> \u0434\u043e \u0434\u0432\u0443\u0445 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#round values in 'time' column to two decimal places\n<\/span>df. <span style=\"color: #3366ff;\">time<\/span> = df. <span style=\"color: #3366ff;\">time<\/span> . <span style=\"color: #3366ff;\">round<\/span> ( <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  athlete time points\n0 A 12.44 5\n1 B 15.80 7\n2 C 16.01 7\n3 D 5.06 9\n4 E 11.08 12\n5 F 12.95 9<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041a\u0430\u0436\u0434\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u0432\u0440\u0435\u043c\u0435\u043d\u0438<\/strong> \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u043e \u0434\u043e \u0434\u0432\u0443\u0445 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>12,443<\/strong> \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u043b\u0438 \u0434\u043e <strong>12,44<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>15,8<\/strong> \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u043b\u0438 \u0434\u043e <strong>15,80<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>16,009<\/strong> \u0431\u044b\u043b\u043e \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u043e \u0434\u043e <strong>1601<\/strong> .<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0418 \u0442\u0430\u043a \u0434\u0430\u043b\u0435\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0422\u0430\u043a\u0436\u0435 \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0434\u0440\u0443\u0433\u043e\u043c \u0447\u0438\u0441\u043b\u043e\u0432\u043e\u043c \u0441\u0442\u043e\u043b\u0431\u0446\u0435 \u2014 <strong>Points<\/strong> \u2014 \u043e\u0441\u0442\u0430\u043b\u0438\u0441\u044c \u043d\u0435\u0438\u0437\u043c\u0435\u043d\u043d\u044b\u043c\u0438.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0431\u0435\u0437-\u0438\u043d\u0434\u0435\u043a\u0441\u0430\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0440\u0430\u0441\u043f\u0435\u0447\u0430\u0442\u0430\u0442\u044c Pandas DataFrame \u0431\u0435\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u0430<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u043f\u043e\u043a\u0430\u0437\u0430\u0442\u044c-\u0432\u0441\u0435-\u0441\u0442\u0440\u043e\u043a\u0438\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 DataFrame Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/pandas-\u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442-dtype-\u0432\u0441\u0435-\u0441\u0442\u043e\u043b\u0431\u0446\u044b\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442\u044c \u0442\u0438\u043f \u0432\u0441\u0435\u0445 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0432 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u043e\u0434\u043d\u043e\u043c \u0441\u0442\u043e\u043b\u0431\u0446\u0435 DataFrame pandas: df. my_column = df. my_column . round () \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. \u041f\u0440\u0438\u043c\u0435\u0440: \u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u0435 \u043e\u0434\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 Pandas DataFrame \u0414\u043e\u043f\u0443\u0441\u0442\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0441\u043f\u043e\u0440\u0442\u0441\u043c\u0435\u043d\u0430\u0445: import pandas as pd [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3929","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u041a\u0430\u043a \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u0442\u044c \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0432 Pandas DataFrame \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043e\u043a\u0440\u0443\u0433\u043b\u044f\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 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